@inproceedings{sandler2018mobilenetv2,
title={Mobilenetv2: Inverted residuals and linear bottlenecks},
author={Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={4510--4520},
year={2018}
}
@TechReport{zb2017hand,
author={Christian Zimmermann and Thomas Brox},
title={Learning to Estimate 3D Hand Pose from Single RGB Images},
institution={arXiv:1705.01389},
year={2017},
note="https://arxiv.org/abs/1705.01389",
url="https://lmb.informatik.uni-freiburg.de/projects/hand3d/"
}
Results on RHD test set
Arch | Input Size | PCK@0.2 | AUC | EPE | ckpt | log |
---|---|---|---|---|---|---|
pose_mobilenet_v2 | 256x256 | 0.985 | 0.883 | 2.79 | ckpt | log |